ASSESSING THE ENERGY COST OF ULTIMATE CONSUMERS OF A LOGISTIC SYSTEM IN THE PROCESS OF MATERIAL FLOW USE
Keywords:consumer, logistics, costs, calories, material
AbstractThe article deals with the assessment of the energy costs of the end users of the logistics system in the process of using the material flow. The goal of the study is to determine the impact of consumers on the choice of a logistics system. The task is to determine the impact of energy costs of a human body in the process of purchasing on the probability of visiting a commercial object. Methods: The approach is based on the system analysis that shows the interdependence of logistic system parameters and the material flow consumption by an ultimate consumer in the process of using the material flow; the methods of regression and correlation analysis. The analysis indicates that consumers have direct and indirect costs. The role of indirect costs is not clearly defined when determining demand and selecting a logistic system. The proposed approach to assessing energy costs of ultimate consumers of a logistics system in the process of using material flow enabled determining the monetary terms of the dependence of energy costs of the activity of a consumer on the parameters of the consumption process for the first time. Conclusions: It is proved that the change in energy costs of a consumer when moving from the area of residence to a shop and back is adequately described by a nonlinear regression equation where the variables are the parameters of the environment: a slope factor, the unstraightness factor of a message, the air distance between points. The results of the research showed that the change in the energy costs of a consumer during a commercial service depends on the parameters of a trade object. The identification of alternative options for logistic systems and the probability of their use by consumers will enable predicting the volumes of sales, stocks, supplies and other indicators. The increase in consumer costs will lead to a decrease in the frequency of the selection of a shop and, as a consequence, the logistics system. The obtained results can be used to plan and organize the logistic system operation as well as to determine the volume of material flow in it.
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